Iris Recognition System

📌 Overview

This project implements an Iris Recognition System using ORB (Oriented FAST and Rotated BRIEF) feature extraction and Brute Force Matching (BFMatcher) to authenticate individuals based on iris images.

🔧 Features

• Extracts key points from iris images using ORB detector.
• Matches key points between two iris images using BFMatcher.
• Computes a similarity score to determine if the images belong to the same person.
• Visualizes results with matched key points.

🏗 Technologies Used

• Python
• OpenCV (cv2) for image processing
• NumPy for numerical operations
• Matplotlib for result visualization

📊 Output

• Displays the match score.
• Shows images with detected key points and matched features.
• Identifies if the images belong to the same person or different people.

📌 Notes

• Ensure grayscale images of similar resolution for best results.
• Adjust MATCH_THRESHOLD in iris_recognition.py to fine-tune accuracy.